Google ADP Questions & Answers - in .pdf
- Total Q&A: 66
- Update: Aug 12, 2026
- Price: $59.99
- Vendor: Google
- Exam Code: ADP
- Exam Name: Associate Data Practitioner
- Features:
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- Printable Google ADP PDF Format.
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- Complete Google Recommended Syllabus.
- Free ADP PDF Demo Available.
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- Exact Google ADP Exam Questions with Correct Answers, verified by Experts with years of Experience in IT Field.
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Google ADP Q&A - Testing Engine
- Total Q&A: 66
- Update: Aug 12, 2026
- Price: $59.99
- Vendor: Google
- Exam Code: ADP
- Exam Name: Associate Data Practitioner
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Google ADP Exam Overview:
| Certification Vendor: | Google Cloud |
| Exam Name: | Google Cloud Associate Data Practitioner |
| Exam Number: | PCA-DP |
| Real Exam Qty: | 50 |
| Available Languages: | English |
| Passing Score: | 70 |
| Exam Format: | Multiple Choice, Multiple Select |
| Exam Duration: | 120 minutes |
| Related Certifications: | Google Cloud Professional Data Engineer Google Cloud Data Analytics Looker Data Analyst |
| Certificate Validity Period: | 24 months |
| Exam Price: | USD 100 |
| Sample Questions: | Google ADP Sample Questions |
| Exam Way: | Online proctored or in-person testing center |
| Pre Condition: | No formal prerequisites, but basic knowledge of data concepts and cloud computing is recommended |
| Official Syllabus URL: | https://cloud.google.com/certification/associate-data-practitioner |
Google ADP Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Data-Driven Decision Making | 10-20% | - Assess data quality and completeness - Define success metrics - Translate business requirements into data solutions - Identify stakeholders and requirements |
| Data Preparation and Exploration | 20-30% | - Transform and prepare data for analysis - Explore data through visualization and queries - Identify data quality issues - Perform exploratory data analysis (EDA) - Ingest and acquire data |
| Data Visualization and Insights | 20-30% | - Choose appropriate visualization types - Build visualizations using Looker Studio - Present data insights to stakeholders - Create dashboards and reports - Interpret and communicate findings |
| Data Processing and Analytics | 20-30% | - Use BigQuery and SQL for analytics - Apply statistical methods for analysis - Query and analyze datasets - Aggregate and summarize data - Build and maintain data pipelines |
Google Associate Data Practitioner Sample Questions:
1. Your team is building several data pipelines that contain a collection of complex tasks and dependencies that you want to execute on a schedule, in a specific order. The tasks and dependencies consist of files in Cloud Storage, Apache Spark jobs, and data in BigQuery. You need to design a system that can schedule and automate these data processing tasks using a fully managed approach. What should you do?
A) Use Cloud Scheduler to schedule the jobs to run.
B) Create directed acyclic graphs (DAGS) in Cloud Composer. Use the appropriate operators to connect to Cloud Storage, Spark, and BigQuery.
C) Use Cloud Tasks to schedule and run the jobs asynchronously.
D) Create directed acyclic graphs (DAGS) in Apache Airflow deployed on Google Kubernetes Engine. Use the appropriate operators to connect to Cloud Storage, Spark, and BigQuery.
2. Your organization uses a BigQuery table that is partitioned by ingestion time. You need to remove data that is older than one year to reduce your organization's storage costs. You want to use the most efficient approach while minimizing cost. What should you do?
A) Create a view that filters out rows that are older than one year.
B) Create a scheduled query that periodically runs an update statement in SQL that sets the "deleted" column to "yes" for data that is more than one year old. Create a view that filters out rows that have been marked deleted.
C) Require users to specify a partition filter using the alter table statement in SQL.
D) Set the table partition expiration period to one year using the ALTER TABLE statement in SQL.
3. Your organization is building a new application on Google Cloud. Several data files will need to be stored in Cloud Storage. Your organization has approved only two specific cloud regions where these data files can reside. You need to determine a Cloud Storage bucket strategy that includes automated high availability.
What should you do?
A) Create a dual-region bucket, and upload the files to this bucket.
B) Create a single-region bucket in each of the two regions, and use Storage Transfer Service to replicate the data across the buckets in both regions.
C) Create a single-region bucket in each of the two regions, and use the gcloud storage command to replicate the data across the buckets in both regions.
D) Create a multi-region bucket, and upload the files to this bucket.
4. You have a BigQuery dataset containing sales dat
a. This data is actively queried for the first 6 months. After that, the data is not queried but needs to be retained for 3 years for compliance reasons. You need to implement a data management strategy that meets access and compliance requirements, while keeping cost and administrative overhead to a minimum. What should you do?
A) Set up a scheduled query to export the data to Cloud Storage after 6 months. Write a stored procedure to delete the data from BigQuery after 3 years.
B) Store all data in a single BigQuery table without partitioning or lifecycle policies.
C) Partition a BigQuery table by month. After 6 months, export the data to Coldline storage. Implement a lifecycle policy to delete the data from Cloud Storage after 3 years.
D) Use BigQuery long-term storage for the entire dataset. Set up a Cloud Run function to delete the data from BigQuery after 3 years.
5. Your company currently uses an on-premises network file system (NFS) and is migrating data to Google Cloud. You want to be able to control how much bandwidth is used by the data migration while capturing detailed reporting on the migration status. What should you do?
A) Use a Transfer Appliance.
B) Use gcloud storage commands.
C) Use Storage Transfer Service.
D) Use Cloud Storage FUSE.
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: D | Question # 3 Answer: A | Question # 4 Answer: C | Question # 5 Answer: C |
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